• DocumentCode
    2109059
  • Title

    Identification of eccentricity related-faults characteristic frequencies in induction motors using a programmable power source

  • Author

    Duque-Perez, Oscar ; Morinigo-Sotelo, Daniel ; Perez-Alonso, Marcelo ; Rodriguez-Carrascal, Alicia ; Garcia-Escudero, Luis A.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Valladolid, Valladolid, Spain
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    468
  • Lastpage
    473
  • Abstract
    With the aim of developing an expert system for condition monitoring of cage rotor induction motors fed by power inverters, laboratory tests have been performed on a motor with artificially created eccentricity in order to identify as many fault signatures as possible. The technique used to detect faults is Motor Current Signature Analysis and in this paper it is analyzed if the spectra around the time harmonics 5, roduced by an inverter are suitable for condition monitoring. monitoring. But, taking into account that the harmonic content of the voltage waveform and the amplitude of the harmonics depend on the voltage supply, in order to establish diagnosis criteria independent of the voltage supply, a programmable power source has been used as a motor supply. The results are discussed and some guidelines for condition monitoring are suggested.
  • Keywords
    condition monitoring; expert systems; fault diagnosis; harmonic analysis; induction motors; invertors; power engineering computing; rotors; waveform analysis; cage rotor; condition monitoring; eccentricity; expert system; fault diagnosis; fault signature identification; harmonic content; induction motors; laboratory tests; motor current signature analysis; power inverters; programmable power source; voltage supply; voltage waveform; Amplitude modulation; Condition monitoring; Electronic mail; Harmonic analysis; Induction motors; Rotors; Stators; Fault diagnosis; induction motors; monitoring; spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4244-9301-2
  • Electronic_ISBN
    978-1-4244-9302-9
  • Type

    conf

  • DOI
    10.1109/DEMPED.2011.6063665
  • Filename
    6063665